基于局部化转换规则的元胞自动机土地利用模型

被引:15
作者
宇林军 [1 ,2 ]
孙丹峰 [1 ]
彭仲仁 [3 ]
李红 [4 ]
机构
[1] 中国农业大学资源与环境学院
[2] 中国科学院遥感与数字地球研究所
[3] 美国佛罗里达大学区域与城市规划系
[4] 北京市农林科学院农业综合发展研究所
关键词
土地利用变化; 元胞自动机模型; 空间异质性; 多项Logit模型; 地理加权多项Logit模型;
D O I
暂无
中图分类号
F301.24 [土地开发与利用]; F224 [经济数学方法];
学科分类号
083306 ; 0903 ; 0701 ; 070104 ;
摘要
传统土地利用元胞自动机(Cellular automata,CA)模型基于空间同质性假设,使用全局性模型建立元胞转换规则,忽略了土地利用变化驱动因素的驱动作用在空间上的变化。以美国佛罗里达州的橙县(Orange County)2003-2009年土地利用变化为例,提出了基于局部化转化规则的CA土地利用模型,其中元胞的土地利用类型适宜性由地理加权多项logit模型(Geographically weighted multinomial logit,GWML)获得。结果表明:GWML模型较传统全局性多项logit(Multinomial logit,MNL)模型有更高的数据解释能力。基于GWML模型的土地利用CA模型能反映局部土地利用变化模式,因而较基于MNL模型的CA模型具有更高的模拟精度。所得结论对未来国内地区的研究有借鉴意义。
引用
收藏
页码:671 / 682
页数:12
相关论文
共 27 条
[11]  
Examining spatially varying relationships between land use and water quality using geographically weighted regression I: Model design and evaluation[J] . Jun Tu,Zong-Guo Xia.Science of the Total Environment . 2008 (1)
[12]  
Disaster Declarations and Major Hazard Occurrences in the United States*[J] . Mathew C. Schmidtlein,Christina Finch,Susan L. Cutter.The Professional Geographer . 2008 (1)
[13]  
Neighborhood impacts on land use change: a multinomial logit model of spatial relationships[J] . Bin Zhou,Kara M. Kockelman.The Annals of Regional Science . 2008 (2)
[14]   A cellular automata model for urban land-use simulation [J].
Lau, KH ;
Kam, BH .
ENVIRONMENT AND PLANNING B-PLANNING & DESIGN, 2005, 32 (02) :247-263
[15]   Growth estimations in settlement planning using a land use cellular automata model (LUCAM) [J].
Yüzer, MA .
EUROPEAN PLANNING STUDIES, 2004, 12 (04) :551-561
[16]  
Smoothing parameter selection in nonparametric regression using an improvedAkaike information criterion .2 Hurvich C M,Simonoff J S,Tsai C L. Journal of the Royal Statistical Society Series B:Statistical Methodology . 1998
[17]  
Using geographically weightedregression for environmental justice analysis:Cumulativecancer risks from air toxics in Florida .2 Gilbert A,Chakraborty J. Social Science Re-search . 2011
[18]  
Modeling urban growth with geo-graphically weighted multinomial logistic Regression .2 Luo J,Kanala N K. Proceedings of Geoinformatics2008 and Joint Conference on GIS and Built Environ-ment:The Built Environment and Its Dynamics . 2008
[19]  
Issues in spatially explicit statistical land-use/cover change (LUCC) models:Examples from western Honduras and the Central Highlands of Vietnam .2 Darla K M,Daniel M. Land Use Policy . 2007
[20]  
Geographically and temporally weighted regression forspatio-temperal modeling of house prices .2 Huang B,Wu B,Barry M. International Journal of Geographi-cal Information Science . 2010